Senior Lead Software Engineer

JPMorgan Chase

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
14 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $200k
$170k most similar roles pay here $242k

This listing doesn't post a salary. Most similar roles pay $177,250–$223,750.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer

As a Senior Lead Software Engineer within the Corporate Sector - CFS Cloud Enablement Team, you will join an agile team focused on building and delivering secure, stable, and scalable technology products. You will provide authoritative technical guidance on workflow automation, AI/ML platforms, and cloud-native solutions across AWS, Azure, and GCP. Your daily responsibilities include designing end-to-end automation pipelines, developing high-quality production code using GitHub Copilot, and managing infrastructure-as-code via Terraform. You will serve as a subject matter expert in MLOps, cloud architecture, and intelligent automation while advocating for firmwide frameworks and responsible AI governance. The role requires advanced proficiency in Python, deep expertise in AWS services like SageMaker and Bedrock, and experience with Java or Golang. You will solve complex problems involving model lifecycle management, CI/CD pipelines, and large language model integration.

What you'll do

  • Provide technical guidance and architectural direction for workflow automation, AI/ML platforms, and cloud-native solutions.
  • Design and implement end-to-end workflow automation solutions and AI/ML pipelines from architecture to production.
  • Develop, review, and optimize high-quality production code using AI-assisted development tools like GitHub Copilot.
  • Drive architectural decisions for product design and infrastructure-as-code standards using Terraform across AWS environments.
  • Define and enforce best practices for CI/CD pipelines, model lifecycle management, and automated testing.
  • Advocate for firmwide frameworks including AWS Well-Architected principles and responsible AI/ML governance.
  • Influence the adoption of leading-edge technologies such as LLMs, agentic AI frameworks, and cloud-native automation services.
  • Scale operating practices for enterprise-authorized AI-assisted engineering to improve delivery speed and operational outcomes across multiple teams.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 10+ years of applied experience in software engineering.
  • Advanced proficiency in Python and experience with AI/ML frameworks and tooling.
  • Deep expertise in AWS cloud services including Step Functions, Lambda, SageMaker, Bedrock, and Glue.
  • Proficiency in Terraform for infrastructure-as-code, including module development and state management.
  • Experience with GitHub Copilot and other AI-assisted development workflows.
  • Proven ability to design and deliver production-grade AI/ML pipelines and automated solutions.
  • Ability to lead multi-team adoption of enterprise-authorized tools while ensuring responsible AI governance.

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